title: Real-time modeling and 3D visualization of source dynamics and connectivity using wearable EEG.
abstract: This report summarizes our recent efforts to deliver real-time data extraction, preprocessing, artifact rejection, source reconstruction, multivariate dynamical system analysis (including spectral Granger causality) and 3D visualization as well as classification within the open-source SIFT and BCILAB toolboxes. We report the application of such a pipeline to simulated data and real EEG data obtained from a novel wearable high-density (64-channel) dry EEG system.
authors.forename: Tim
authors.initials: T
authors.lastname: Mullen
authors.forename: Christian
authors.initials: C
authors.lastname: Kothe
authors.forename: Yu Mike
authors.initials: YM
authors.lastname: Chi
authors.forename: Alejandro
authors.initials: A
authors.lastname: Ojeda
authors.forename: Trevor
authors.initials: T
authors.lastname: Kerth
authors.forename: Scott
authors.initials: S
authors.lastname: Makeig
authors.forename: Gert
authors.initials: G
authors.lastname: Cauwenberghs
authors.forename: Tzyy-Ping
authors.initials: TP
authors.lastname: Jung
mesh_terms: D016477:Artifacts; D001921:Brain / Q000502:physiology; D062207:Brain-Computer Interfaces; D004569:Electroencephalography / Q000295:instrumentation; D006801:Humans; D021621:Imaging, Three-Dimensional; D008297:Male; D018670:Monitoring, Ambulatory / Q000295:instrumentation; D015999:Multivariate Analysis; D012815:Signal Processing, Computer-Assisted; D012984:Software; D055815:Young Adult